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Recent developments of tau Positron Emission Tomography (PET) allows assessment of regional neurofibrillary tangles (NFTs) deposition in human brain. Among the tau PET molecular probes, 18F-AV1451 is characterized by high selectivity for pathologic tau aggregates over amyloid plaques, limited non-specific binding in white and gray matter, and confined off-target binding. The objectives of the study are (1) to quantitatively characterize regional brain tau deposition measured by 18F-AV1451 PET in cognitively normal older adults (CN), mild cognitive impairment (MCI), and AD participants; (2) to evaluate the correlations between cerebrospinal fluid (CSF) biomarkers or Mini-Mental State Examination (MMSE) and 18F-AV1451 PET standardized uptake value ratio (SUVR); and (3) to evaluate the partial volume effects on 18F-AV1451 brain uptake.Methods: The study included total 115 participants (CN = 49, MCI = 58, and AD = 8) from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Preprocessed 18F-AV1451 PET images, structural MRIs, and demographic and clinical assessments were downloaded from the ADNI database. A reblurred Van Cittertiteration method was used for voxelwise partial volume correction (PVC) on PET images. Structural MRIs were used for PET spatial normalization and region of interest (ROI) definition in standard space. The parametric images of 18F-AV1451 SUVR relative to cerebellum were calculated. The ROI SUVR measurements from PVC and non-PVC SUVR images were compared. The correlation between ROI 18F-AV1451 SUVR and the measurements of MMSE, CSF total tau (t-tau), and phosphorylated tau (p-tau) were also assessed.Results:18F-AV1451 prominently specific binding was found in the amygdala, entorhinal cortex, parahippocampus, fusiform, posterior cingulate, temporal, parietal, and frontal brain regions. Most regional SUVRs showed significantly higher uptake of 18F-AV1451 in AD than MCI and CN participants. SUVRs of small regions like amygdala, entorhinal cortex and parahippocampus were statistically improved by PVC in all groups (p < 0.01). Although there was an increasing tendency of 18F-AV-1451 SUVRs in MCI group compared with CN group, no significant difference of 18F-AV1451 deposition was found between CN and MCI brains with or without PVC (p > 0.05). Declined MMSE score was observed with increasing 18F-AV1451 binding in amygdala, entorhinal cortex, parahippocampus, and fusiform. CSF p-tau was positively correlated with 18F-AV1451 deposition. PVC improved the results of 18F-AV-1451 tau deposition and correlation studies in small brain regions.Conclusion: The typical deposition of 18F-AV1451 tau PET imaging in AD brain was found in amygdala, entorhinal cortex, fusiform and parahippocampus, and these regions were strongly associated with cognitive impairment and CSF biomarkers. Although more deposition was observed in MCI group, the 18F-AV-1451 PET imaging could not differentiate the MCI patients from CN population. More tau deposition related to decreased MMSE score and increased level of CSF p-tau, especially in ROIs of amygdala, entorhinal cortex and parahippocampus. PVC did improve the results of tau deposition and correlation studies in small brain regions and suggest to be routinely used in 18F-AV1451 tau PET quantification.

Background: Randomized controlled efficacy trials (RCTs), the scientific gold standard, are required for regulatory approval of Alzheimer’s disease (AD) interventions, yet provide limited information regarding real-world therapeutic effectiveness. Objective: To compare the nature of evidence regarding the combination of approved AD treatments from RCTs versus long-term observational controlled studies (LTOCs). Methods: Comparisons of strengths, limitations, and evidence level for monotherapy [cholinesterase inhibitor (ChEI) or memantine] and combination therapy (ChEI + memantine) in RCTs versus LTOCs. Results: RCTs examined highly selected populations over months. LTOCs collected data across multiple AD stages in large populations over many years. RCTs and LTOCs show similar patterns favoring combination over monotherapy over placebo/no treatment. Long-term combination therapy compared to monotherapy reduced cognitive and functional decline and delayed time to nursing home admission. Persistent treatment was associated with slower decline. While LTOCs used control groups, adjusted for multiple covariates, had higher external validity, and favorable ethical, practical and cost considerations, their limitations included potential selection bias due to lack of placebo comparisons and randomization. Conclusions: Naturalistic LTOCs provide complementary long-term level II evidence to complement level I evidence from short-term RCTs regarding therapeutic effectiveness in AD that may otherwise be unobtainable. A coordinated strategy/consortium to pool LTOC data from multiple centers to estimate long-term comparative effectiveness, risks/benefits, and costs of AD treatments is needed.

negative for 34 subjects and positive for 36 (see figure). The visual assessments were negative and quantitative assessments were positive in 14 subjects. The visual assessments were positive and quantitative assessments were negative in 12 subjects. Conclusions: In this population, 26 of 96 subjects had discordant reads between the two methods. This may be a result of averaging regions in the quantitative assessment while only 1 region was required to be positive for the visual assessment. The quantitative threshold could be modified or visual assessment scores of 2 could be also considered positive but these alternative approaches would predominantly shift the balance between false positives and false negatives without substantially changing the discordant pairs.

Medical Center, in the San Francisco Bay Area. Methods: The CNT sees every patient and offers social work services, case management, on-site Alzheimer’s Association assistance and individual, family, and group psychotherapy. During the first visit CNT staff provides an explanation of services and conducts a brief assessment. Within the following two weeks CNT staff contacts the patient/family to continue the assessment process and to address any issues concerning MP recommendations. A care plan is then initiated that continually supports the patient in navigating the health care system throughout the treatment process. The CNT provides guidance to MP regarding psychological reactions to diagnoses and the impact on family dynamics. Additionally, the CNT addresses psychosocial crises, Adult Protective Services reporting and capacity issues. Psychotherapy services are billed appropriately. Results: By offering individualized, coordinated care to every patient, this unique, systematic and comprehensive model allows providers to focus on the continued improvement of medical care. Furthermore, the model ensures enhanced service provision, medical compliance, as well as increased safety and perceived quality of life for patients and their loved ones.Conclusions: This model creates enhanced communication between MP, CNT and the patients/families served. This allows for the medical treatment and psychosocial support to be continuously adjusted in order to optimally meet the changing needs of each individual/family in this at-risk population. Billing appropriately for psychotherapy services allows the CNT services to be partially self-supported. This model can be replicated at other centers.

Background Randomized controlled trials (RCTs) provide safety and efficacy data for regulatory approval of antidementia drugs, but offer limited data regarding real-world effectiveness. Long-term observational controlled studies (LTOCs) extend our understanding by providing longitudinal data across multiple stages of Alzheimer's disease (AD). Methods Comparisons of strengths, limitations, evidence level, and results for monotherapy (cholinesterase inhibitors) and combination therapy (cholinesterase inhibitors + memantine) in RCTs versus LTOCs were made. Results Similar to RCTs, LTOCs have shown that both monotherapy and combination therapy are associated with slower cognitive and functional decline. Combination therapy is associated with better cognitive outcomes and greater delays in time to nursing home admission versus monotherapy or no treatment. Persistent antidementia drug treatment is associated with slower decline in cognition, daily function, and global severity, even in patients with advanced disease. Conclusions LTOCs provide complementary evidence regarding effectiveness of antidementia therapy over many years, a time course relevant to AD management. These findings also provide compelling arguments in favor of using LTOCs to estimate effectiveness, risk–benefit, and costs of AD treatments.

Introduction There are no empiric data to support guidelines for duration of therapy with antidementia drugs. This study examined whether persistent use of antidementia drugs slows clinical progression of Alzheimer disease (AD) assessed by repeated measures on serial tests of cognition and function. Methods Six hundred forty-one probable AD patients were followed prospectively at an academic center over 20 years. Cumulative drug exposure was expressed as a persistency index (PI) reflecting total years of drug use divided by total years of disease symptoms. Baseline and annual testing consisted of Mini-Mental State Examination (MMSE), Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog), Baylor Profound Mental Status Examination (BPMSE), Clinical Dementia Rating-Sum of Boxes (CDR-SB), Physical Self-Maintenance Scale (PSMS), and Instrumental Activities of Daily Living (IADL). Annual change in slope of neuropsychological and functional tests as predicted by follow-up time, PI, and the interaction of these two variables was evaluated. Results PI was associated with significantly slower rates of decline (with, without adjustment for covariates) on MMSE (P < 0.0001), PSMS (P < 0.05), IADL (P < 0.0001), and CDR-SB (P < 0.001). There was an insignificant trend (P = 0.053) for the PI to be associated with slower rate of decline on BPMSE. The association of PI with ADAS-Cog followed a quadratic trend (P < 0.01). Analysis including both linear and quadratic terms suggests that PI slowed ADAS-Cog decline temporarily. The magnitude of the favorable effect of a rate change in PI was: MMSE 1 point per year, PSMS 0.4 points per year, IADL 1.4 points per year, and CDR-SB 0.6 points per year. The change in mean test scores is additive over the follow-up period (3 ± 1.94 years). Conclusions Persistent drug treatment had a positive impact on AD progression assessed by multiple cognitive, functional, and global outcome measures. The magnitude of the treatment effect was clinically significant. Positive treatment effects were even found in those with advanced disease.

Atypical antipsychotics (AA) are generally associated with weight gain. We determined body mass index (BMI) change in Parkinson's disease (PD) before and after taking AA and compared against PD controls and Alzheimer's disease (AD) patients on AA. In 66 consecutive PD subjects started on AA who had accurate weights for more than 6 months before and after initiation of AA, we compared weight change before and after AA use, against a control group of sixty-one sex-matched PD subjects, and against twenty-eight AD subjects taking AA. A linear regression model was created to compare weight changes. Fifty-nine PD subjects had complete data, quetiapine (n=53) and clozapine (n=6). The mean BMI change in the period before starting AA was 0.00 kg/m(2)/month over 1.95+/-1.41 years. After starting AA, subjects lost 0.03 kg/m(2)/month (95% CI 0.62-1.21, P

Introduction This longitudinal study examined multiple factors that influence survival in a cohort of Alzheimer patients followed over two decades. Methods Time to death after symptom onset was determined in 641 probable AD patients who were evaluated annually until death or loss to follow-up, and information was entered into a longitudinal database. Date of death was available for everyone including those eventually lost. Baseline variables included age, sex, race, disease severity, a calculated index of rate of initial cognitive decline from symptom onset to cohort entry (pre-progression rate or PPR), years of education, and medical comorbidities (diabetes, hypertension, hyperlipidemia, coronary disease, cerebrovascular disease). Multivariable Cox proportional hazard regression analysis was used to analyze the baseline and/or time dependent association in Mini-mental Status Exam (MMSE) severity, Physical Self Maintenance Scale (PSMS), Persistency Index (PI) of exposure to antipsychotic and antidementia drugs, and psychotic symptoms (hallucinations, delusions) with mortality. Results Baseline covariates significantly associated with increased survival were younger age (p = .0016), female sex (p = .0001), and a slower PPR (p < .0001). Overall disease severity at baseline, medical comorbidities, and education did not influence time to death. Time-dependent changes in antipsychotic drug use, development of psychotic symptoms, antidementia drug use, and observed MMSE change were not predictive. In the final model the only time-dependent covariate that significantly decreased survival was worsening of functional ability on the PSMS (hazard ratio = 1.10; CI: 1.07-1.11). Conclusions In this large AD cohort survival is influenced by age, sex, and the development of functional disability during follow-up. The most important predictor of mortality was a faster rate of cognitive decline at the initial patient visit (PPR). The currently available antidementia drugs do not prolong survival in Alzheimer patients.

Introduction Clinicians need to predict prognosis of Alzheimer's disease (AD), and researchers need models of progression to develop biomarkers and clinical trials designs. We tested a calculated initial progression rate to see whether it predicted performance on cognition, function and behavior over time, and to see whether it predicted survival. Methods We used standardized approaches to assess baseline characteristics and to estimate disease duration, and calculated the initial (pre-progression) rate in 597 AD patients followed for up to 15 years. We designated slow, intermediate and rapidly progressing groups. Using mixed effects regression analysis, we examined the predictive value of a pre-progression group for longitudinal performance on standardized measures. We used Cox survival analysis to compare survival time by progression group. Results Patients in the slow and intermediate groups maintained better performance on the cognitive (ADAScog and VSAT), global (CDR-SB) and complex activities of daily living measures (IADL) (P values < 0.001 slow versus fast; P values < 0.003 to 0.03 intermediate versus fast). Interaction terms indicated that slopes of ADAScog and PSMS change for the slow group were smaller than for the fast group, and that rates of change on the ADAScog were also slower for the intermediate group, but that CDR-SB rates increased in this group relative to the fast group. Slow progressors survived longer than fast progressors (P = 0.024). Conclusions A simple, calculated progression rate at the initial visit gives reliable information regarding performance over time on cognition, global performance and activities of daily living. The slowest progression group also survives longer. This baseline measure should be considered in the design of long duration Alzheimer's disease clinical trials.

It has been brought to our attention that Figure 7 in our recently published paper [1] contains a labeling error. The group marked "slow" should be labeled "fast" and the group marked "fast" should be labeled "slow". The corrected figure 7 is given here as Figure ​Figure11. Figure 1 Kaplan-Meier Survival curves by pre-progression group adjusted for age and sex. HR for slow vs. fast = 0.62 (P = 0.024).